maheshrawat18/Qwen3-4B-2507-sft-cv2
The maheshrawat18/Qwen3-4B-2507-sft-cv2 is a 4 billion parameter Qwen3 model, fine-tuned from unsloth/Qwen3-4B-Thinking-2507. Developed by maheshrawat18, this model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture for efficient performance.
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Model Overview
The maheshrawat18/Qwen3-4B-2507-sft-cv2 is a 4 billion parameter language model based on the Qwen3 architecture. It was developed by maheshrawat18 and is fine-tuned from the unsloth/Qwen3-4B-Thinking-2507 base model.
Key Characteristics
- Architecture: Qwen3
- Parameter Count: 4 billion
- Training Method: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Apache-2.0
Intended Use
This model is suitable for a variety of general language processing tasks, benefiting from its Qwen3 foundation and efficient fine-tuning. Its optimized training process suggests a focus on practical deployment and performance.